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Missing Data - Quantitative Applications in the Social Sciences Paul D. Allison
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Missing Data - Quantitative Applications in the Social Sciences
Paul D. Allison
Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has relied on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.
104 pages, illustrations
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2001. gada 3. oktobris |
| ISBN13 | 9780761916727 |
| Izdevēji | SAGE Publications Inc |
| Lapas | 104 |
| Izmēri | 142 × 216 × 6 mm · 130 g |
| Valoda | Angļu |
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